SCOPUS 정보 검색 플랫폼

Volumn 14, Issue 10, 2001, Pages 1447-1461

Oriented principal component analysis for large margin classifiers

a UNIVERSITAT POLITÈCNICA DE CATALUNYA (Spain)

Author keywords

Co operative learning; Feature extraction; Large margin classifiers; Learning to learn algorithms; Online gradient descent; Oriented principal component analysis; Pattern recognition; Principal component neural networks

Indexed keywords

HEURISTIC METHODS; LEARNING ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS;

GLOBAL ALGORITHMS;

NEURAL NETWORKS;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; DISCRIMINANT ANALYSIS; EXPERIMENTAL MODEL; LEARNING; MATHEMATICAL COMPUTING; METHODOLOGY; PERFORMANCE; PRIORITY JOURNAL; PROCESS CONTROL; STATISTICAL CONCEPTS;

ALGORITHMS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; STATISTICS;

EID: 0035196269 PISSN: 08936080 EISSN: None Source Type: Journal
DOI: 10.1016/S0893-6080(01)00106-X Document Type: Article

Times cited : (56)

References (44)

1
- 0032028728
- The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
- (1998) IEEE Transaction on Information Theory , vol.44 , pp. 525-536
- Barlett, P.L.¹

2
- 0033359588
- Adaptive soft k-nearest neighbour classifiers
- Brief communication
- (1999) Pattern Recognition , vol.32 , pp. 2077-2079
- Bermejo, S.¹ Cabestany, J.²

3
- 0034559505
- Adaptive soft k-nearest neighbour classifiers
- To be published
- (2001) Pattern Recognition , vol.33
- Bermejo, S.¹ Cabestany, J.²

4
- 0035306637
- Finite-sample convergence properties of the LVQ1 algorithm and the BLVQ1 algorithm
- (2001) Neural Processing Letters , vol.13 , pp. 135-157
- Bermejo, S.¹ Cabestany, J.²

5
- 0003487601
- Oxford: University Press
- (1995) Neural networks for pattern recognition
- Bishop, C.M.¹

6
- 0002163773
- Convergence properties of k-means
- D. S. Touretzky, M.C. Mozer & M.E. Hasselmo, Cambridge, MA: MIT Press
- (1996) Advances in neural information processing systems 8
- Bottou, L.¹ Bengio, Y.²

7
- 0041301885
- A framework for the cooperation of learning algorithms
- J.E. Moody & D.S. Touretzky, Cambridge,MA: MIT Press
- (1991) Advances in neural information processing systems 3
- Bottou, L.¹ Gallinari, P.²

8
- 0000876414
- Local learning algorithms
- (1992) Neural Computation , vol.4 , pp. 888-890
- Bottou, L.¹ Vapnik, V.²

9
- 4244164063
- Laterally interconnected self-organizing maps in hand-written digit recognition
- D.S. Touretzky & M.C. Mozer, Cambridge, MA: MIT Press
- (1996) Advances in neural information processing systems 8
- Choe, Y.¹ Sirosh, J.² Miikkulainen, R.³

10
- 0003824694
- PhD Thesis, New York: University of Rochester, Department of Computer Science
- (1995) Prediction of generalization ability in learning machines
- Cortes, C.¹

11
- 0003409709
- New York: Springer Verlag
- (1995) An information-theoretic approach to neural computing
- Deco, G.¹ Obradovic, D.²

12
- 0041533098
- A view of unconstrained optimization
- G.L. Nemhauser, A.H.G. Rinnooy Kan & M.J. Todd, Amsterdam: North-Holland
- (1989) Optimization
- Dennis J.E., Jr.¹ Schnabel, R.B.²

13
- 0004019773
- Berlin: Springer-Verlag
- (1996) A probabilistic theory of pattern recognition
- Devroye, L.¹ Györfi, L.² Lugosi, G.³

14
- 0003549017
- New York: John Wiley & Sons
- (1996) Principal component neural networks, theory and applications
- Diamantaras, K.I.¹ Kung, S.Y.²

15
- 0003472470
- New York: Wiley-Interscience
- (1973) Pattern classification and scene analysis
- Duda, R.O.¹ Hart, P.E.²

16
- 84910828260
- Applications of the karhunen loeve expansion to feature extraction and ordering
- (1970) IEEE Transactions on Computers , vol.19 , pp. 311-318
- Fukunaga, K.¹ Koontz, W.C.G.²

17
- 0006822542
- Discussion of the paper what is projection pursuit?
- (1987) Journal of the Royal Statistical Society A , vol.150 , pp. 19-21
- Gower, J.C.¹

18
- 0006754306
- Stanford, CA: Stanford University, Department of Electrical Engineering
- (1997) Vector quantization and density estimation. Technical Report
- Gray, R.M.¹ Olshen, R.A.²

19
- 0006755388
- Discussion of the paper what is projection pursuit?
- (1987) Journal of the Royal Statistical Society A , vol.150 , pp. 27-28
- Hastie, T.¹ Tibshirani, R.²

20
- 0000466122
- Survey on independent component analysis
- (1999) Neural Computing Surveys , vol.2 , pp. 96-128
- Hyvärinen, A.¹

21
- 0003905753
- Independent component analysis: A tutorial
- (1999) Proceedings of the International joint conference on neural networks
- Hyvärinen, A.¹ Oja, E.²

22
- 0346307721
- A fast fixed-point algorithm for independent component analysis
- (1997) Neural Computation , vol.9 , pp. 1483-1492
- Hyvärinen, A.¹ Oja, E.²

23
- 0003946510
- New York: Springer-Verlag
- (1986) Principal component analysis
- Jolliffe, I.T.¹

24
- 0002599871
- What is projection pursuit?
- (1987) Journal of the Royal Statistical Society A , vol.150 , pp. 1-18
- Jones, M.C.¹ Sibson, R.²

25
- 0003505617
- Helsinki: Helsinki University of Technology, Laboratory of Computer and Information Science
- (1995) LVQ_PAK, the learning vector quantization program package (Version 3.1)
- Kohonen, T.¹ Hynninen, J.² Kangas, J.³ Laaksonen, J.⁴ Torkkola, K.⁵

26
- 0000029122
- A simple weight decay can improve generalization
- J. E. Moody, S.J. Hanson & R.P. Lippman, Cambridge MA: MIT Press
- (1992) Advances in neural information processing systems 4
- Krogh, A.¹ Hertz, J.A.²

27
- 0004211060
- New Jersey: PTR Prentice Hall
- (1993) Digital neural networks
- Kung, S.Y.¹

28
- 15344347807
- Gradient-based learning applied to document recognition
- (1999) Proceedings of the IEEE
- LeCun, Y.¹ Bottou, L.² Bengio, Y.³ Haffner, P.⁴

29
- 0029270805
- Artificial neural networks for feature extraction and multivariate data projection
- (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 296-317
- Mao, J.¹ Jain, A.K.²

30
- 0003612091
- London: Ellis Horwood
- (1994) Machine learning, neural and statistical classification
- Michie, D.¹ Spiegelhalter, D.J.² Taylor, C.C.³

31
- 0006755045
- Irvine, CA: University of California, Department of Information and Computer Science
- (1994)
- Murphy, P.M.¹ Aha, D.W.²

32
- 0029307021
- Combining image compression and classification using vector quantization
- (1995) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.17 , pp. 461-473
- Oehler, K.L.¹ Gray, R.M.²

33
- 0004121838
- Letchworth: Research Studies Press
- (1983) Subspace methods for pattern recognition
- Oja, E.¹

34
- 0030083869
- Bayes risk weighted vector quantization with posterior estimation for image compression and classification
- (1996) IEEE Transactions on Image Processing , vol.5 , pp. 347-360
- Perlmutter, K.O.¹ Perlmutter, S.M.² Gray, R.M.³ Olshen, R.A.⁴ Oehler, K.L.⁵

35
- 84872548900
- Early stopping - But when?
- Heidelberg: Springer Verlag
- (1998) Neural networks: tricks of the trade. Lecture Notes in Computer Science 1524 , pp. 55-69
- Prechelt, P.¹

36
- 0004161838
- Cambridge: Cambridge University Press
- (1992) Numerical recipes in C: the art of scientific computing (2nd ed.)
- Press, W.H.¹ Teukolsky, S.A.² Vetterling, W.T.³ Flannery, B.P.⁴

37
- 84947720018
- Theoretical views of boosting
- (1999) Proceedings of Fourth European Conference on Computational Learning Theory, EuroCOLT'99 , pp. 1-10
- Schapire, R.E.¹

38
- 0032280519
- Boosting the margin: A new explanation for the effectiveness of voting methods
- (1998) The Annals of Statistics , vol.26 , pp. 1651-1686
- Schapire, R.E.¹ Freund, Y.² Bartlett, P.³ Lee, W.S.⁴

39
- 0347243182
- Non-linear component analysis as a kernel eigenvalueule problem
- (1998) Neural Computation , vol.10 , pp. 1299-1319
- Sckölkopf, B.¹ Smola, A.² Müller, K.³

40
- 0003752061
- PhD Thesis. Austin, TX: The University of Texas at Austin
- (1995) A self-organising neural network model of the primary visual cortex
- Sirosh, J.¹

41
- 0003901612
- Boston, MA: Kluwer Academic
- (1998) Learning to learn
- Thrun, S.¹ Pratt, L.²

42
- 0003969585
- Berlin: Springer-Verlag
- (1982) Estimation of dependences based on empirical data
- Vapnik, V.¹

43
- 0003991806
- New York: Wiley-Interscience
- (1998) Statistical learning theory
- Vapnik, V.¹

44
- 0016973661
- Pattern recognition by means of disjoint principal component models
- (1976) Pattern Recognition , vol.8 , pp. 127-139
- Wold, S.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.